Motion Disentanglement
5 papers with code • 0 benchmarks • 1 datasets
Disentangling irregular (anomalous) motion from regular motion.
Benchmarks
These leaderboards are used to track progress in Motion Disentanglement
Fitness-AQA
Most implemented papers
Video Reenactment as Inductive Bias for Content-Motion Disentanglement
mipl/mtc-vae
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Experiments on video reenactment show the effectiveness of our disentanglement in the input space where our model outperforms the baselines in reconstruction quality and motion alignment.
Hamiltonian latent operators for content and motion disentanglement in image sequences
mdasifkhan/halo
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We introduce \textit{HALO} -- a deep generative model utilising HAmiltonian Latent Operators to reliably disentangle content and motion information in image sequences.
Domain Knowledge-Informed Self-Supervised Representations for Workout Form Assessment
To that end, we propose to learn exercise-oriented image and video representations from unlabeled samples such that a small dataset annotated by experts suffices for supervised error detection.
Disentangling Object Motion and Occlusion for Unsupervised Multi-frame Monocular Depth
Conventional self-supervised monocular depth prediction methods are based on a static environment assumption, which leads to accuracy degradation in dynamic scenes due to the mismatch and occlusion problems introduced by object motions.
MotionCrafter: One-Shot Motion Customization of Diffusion Models
The essence of a video lies in its dynamic motions, including character actions, object movements, and camera movements.
